Training was tricky—low creep variance in some files caused R² issues. I skipped R² for those and focused on MAE/MSE. #ModelDebugging

#OOD detection #ModelDebugging

#ModelDebugging plays a big role in the #MachineLearning development cycle. It’s a critical stage in all types of software development – quite often it’s also difficult and time-consuming. Is there a way to make it less painful? 💡 Find out ⬇️ bit.ly/31hYIJX

Is there one silver-bullet strategy that works for all types of models and applications? Not really, there are plenty of different strategies for #ModelDebugging, and Harshil Patel explores 10 of them in this article. bit.ly/2VTu4UR

Become a pro at #ModelDebugging and #ErrorAnalysis with our deep dive article! bit.ly/3qkueze

Take a #DeepDive into #ErrorAnalysis and #ModelDebugging in #ML (and #DeepLearning) with this informative article by @dhruvil_karani. bit.ly/3qkueze

Learn more about #ErrorAnalysis and #ModelDebugging in #MachineLearning (and #DeepLearning) with this Deep Dive by @dhruvil_karani! bit.ly/3qkueze

If you're attending #StrataData next month, don't miss @jpatrickhall's session on #modeldebugging on Monday, March 16. This training session will break down strategies to test and fix #security vulnerabilities, unwanted social biases & inaccuracies in models. #AI #machinelearning

If you're attending #StrataAI in March, put this hands-on session with @jpatrickhall in your schedule! Join him on the afternoon of Monday, March 16 for #modeldebugging strategies to fix #security vulnerabilities or unwanted #ML biases: conferences.oreilly.com/strata-data-ai…

It's #MLI think Friday ... learn more about #ML #modeldebugging, what is it? "Model debugging is an emergent discipline focused on finding and fixing problems in ML systems." lnkd.in/gMyYrda